Related Experiment Video
Updated: Feb 28, 2026

Analyzing the Interaction of Fluorescent-Labeled Proteins with Artificial Phospholipid Microvesicles using Quantitative Flow Cytometry
Published on: April 6, 2022
Quarterly financial statements Data for Russian firms
Maria Marakueva1, Polina Popova2
1National Research University Higher School of Economics (190008, Soyuza Pechatnikov Str., 1, Saint Petersburg), M. V. Lomonosov Moscow State University (119991, GSP-1, Leninskie Gory, Moscow), Russian Federation.
Researchers created a unique database of quarterly financial statements for Russian firms (2014-2024). This high-frequency dataset covers over 100,000 observations, aiding microeconomic research in Russia.
Area of Science:
- Economics
- Finance
- Data Science
Background:
- Limited availability of high-frequency financial data for Russian firms.
- Need for a comprehensive dataset to support microeconomic research in Russia.
Purpose of the Study:
- To construct a unique, comprehensive database of quarterly financial statements for Russian firms.
- To provide high-frequency financial data for the period 2014-2024.
- To facilitate research on credit risk, corporate behavior, and monetary policy in Russia.
Main Methods:
- Data compilation from Federal Tax Service of Russia (FNS), SPARK Interfax, Cbonds, and Moscow Exchange.
- Standardization of financial statements and inclusion of industry (OKVED) and regional identifiers.
- Inclusion of firm characteristics like registration codes and legal status.
Main Results:
- Creation of a unique database with over 100,000 firm-quarter observations from 4,568 Russian companies (2014-2024).
- Dataset represents over 30% of total corporate assets in Russia.
- Standardized data with industry and regional identifiers, suitable for microeconomic analysis.
Conclusions:
- The developed database offers unprecedented high-frequency financial information for Russian firms.
- This resource is valuable for researchers investigating credit risk, corporate governance, and monetary policy transmission.
- The dataset enhances the study of microeconomic phenomena within the Russian economic context.
More Related Videos
Related Concept Videos
Quartile
1; 1; 2; 2; 4; 6; 6.8; 7.2; 8; 8.3; 9; 10; 10; 11.5
The median or second quartile is seven. The lower half of the...
5-Number Summary
In a box plot, the minimum and maximum data values represent the lower and upper whiskers in the graph, and the median is designated as the center of the box in the chart. The first quartile and third...
Data Reporting and Recording
Quantitative Analysis
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the...
Microsoft Excel: Median, Quartile range, and Box Plots
Median and Quartile Range: The median is calculated using the formula `=MEDIAN(range)', which provides the middle value of your data set. Quartiles divide your data into four equal parts. To find the first and third quartiles, use ‘=QUARTILE(range, 1)' and ‘=QUARTILE(range, 3)', respectively. The interquartile range (IQR), which...
Boxplot

